We are seeking an experienced Data Warehouse Architect to lead the design and implementation of scalable, high-performance data platforms. This role requires deep expertise in data architecture, cloud technologies, and modern data engineering practices.
Key Responsibilities
- Design and architect enterprise-level data warehouse solutions
- Define data architecture standards, frameworks, and best practices
- Build and oversee ETL/ELT pipelines and data integration strategies
- Develop scalable data models (Star, Snowflake, Data Vault)
- Lead cloud data platform implementations (Azure / AWS / GCP)
- Ensure data quality, governance, security, and compliance
- Collaborate with business stakeholders, data engineers, and analytics teams
- Optimize performance, cost, and scalability of data systems
- Drive modernization initiatives (migration from legacy to cloud)
Required Skills
- Strong experience in Data Warehouse Architecture & Design
- Expertise in SQL, data modeling, and database design
- Hands-on experience with cloud platforms (Azure / AWS / GCP)
- Experience with tools like Azure Data Factory, Databricks, Snowflake, Redshift, Synapse
- Strong understanding of ETL/ELT frameworks and data pipelines
- Knowledge of Big Data technologies (Spark, Hadoop)
- Experience in data governance, security, and compliance frameworks
- Familiarity with BI tools (Power BI, Tableau)
Good to Have
- Experience with Data Lake / Lakehouse architecture
- Knowledge of CI/CD pipelines and DevOps practices
- Exposure to real-time/streaming data (Kafka, Event Hub)
- Certification in cloud platforms (Azure/AWS/GCP)
